{"id":"W4382499361","doi":"10.5430/rwe.v14n1p1","title":"An Empirical Study on the Driving Factors of Financial Management Behavior of the Middle-Aged and Elderly Based on Logistic Model","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Financial risk; Finance; Herding; Logistic regression; Questionnaire; Financial management; Elderly people; Investment management; Middle age; Preference; Business; Financial compensation; Economics; Compensation (psychology); Psychology; Market liquidity; Computer science; Microeconomics; Sociology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288462,0.0005346233,0.0006059402,0.001387912,0.0007475947,0.00141219,0.0008361022,0.0008829521,0.005242871],"category_scores_gemma":[0.006605229,0.0003332699,0.00136982,0.00145116,0.0004437033,0.001472546,0.0007954441,0.001236849,0.0005889955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009468659,"about_ca_system_score_gemma":0.001174446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798368,"about_ca_topic_score_gemma":0.009813843,"domain_scores_codex":[0.9992408,0.0003005767,0.00004625509,0.0001139882,0.0000710549,0.0002273486],"domain_scores_gemma":[0.9934791,0.004653956,0.0007050167,0.0001863061,0.0004522384,0.0005232528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002008042,0.0006024523,0.9806758,0.00007148228,0.0001602077,0.0006012524,0.001091081,0.005392227,0.0001127705,0.002194059,0.001090354,0.007807537],"study_design_scores_gemma":[0.00009194147,0.0007562751,0.6736649,0.0001823929,0.0004851177,0.0007705935,0.01302661,0.3018418,0.0002955493,0.004924467,0.003871947,0.00008840473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955415,0.0002343587,0.002494311,0.0003834544,0.0000188691,0.00003258806,0.0002567399,0.0000101388,0.001027986],"genre_scores_gemma":[0.9976341,0.0003289463,0.0006430722,0.00003599241,0.00001817974,0.00003218926,0.0002844812,0.000002990158,0.00102017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798368,"threshold_uncertainty_score":0.03575802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2250359357618754,"score_gpt":0.4017971490263128,"score_spread":0.1767612132644374,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}